Evidence map›Paper›PMID 37355909›Full record

ArticleJournal of Alzheimer's disease : JAD2023

Prevailing Antagonistic Risks in Pleiotropic Associations with Alzheimer's Disease and Diabetes.

Alexander M Kulminski, Fan Feng, Elena Loiko, Alireza Nazarian, Yury Loika, Irina Culminskaya

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Fan FengBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Elena LoikoBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Alireza NazarianBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Yury LoikaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Irina CulminskayaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Social Science Research Council · USDuke University · US

Funding

ApoE2 and protective molecular signatures in Alzheimer's disease and agingR01AG061853 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2018 to 2022
$3.9M
Personalized genetic profiles of risk and resilience in Alzheimer's and vascular diseasesR01AG065477 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2020 to 2024
$3.8M
Dissecting genetic and non-genetic heterogeneity in predisposition to Alzheimer's disease and vascular traits in pleiotropic contextR01AG070488 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M, OUKRAINTSEVA, SVETLANA V. · 2020 to 2024
$2.8M
Molecular signatures of health and life span disparities between whites and African-Americans in the APOE regionR01AG047310 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2015 to 2019
$2.5M
NIA NIH HHS R01 AG047310NIA NIH HHS R01 AG061853NIA NIH HHS R01 AG065477NIA NIH HHS R01 AG070488
6 · The paper itself

Abstract

backgroundThe lack of efficient preventive interventions against Alzheimer's disease (AD) calls for identifying efficient modifiable risk factors for AD. As diabetes shares many pathological processes with AD, including accumulation of amyloid plaques and neurofibrillary tangles, insulin resistance, and impaired glucose metabolism, diabetes is thought to be a potentially modifiable risk factor for AD. Mounting evidence suggests that links between AD and diabetes may be more complex than previously believed.

objectiveTo examine the pleiotropic architecture of AD and diabetes mellitus (DM).

methodsUnivariate and pleiotropic analyses were performed following the discovery-replication strategy using individual-level data from 10 large-scale studies.

resultsWe report a potentially novel pleiotropic NOTCH2 gene, with a minor allele of rs5025718 associated with increased risks of both AD and DM. We confirm previously identified antagonistic associations of the same variants with the risks of AD and DM in the HLA and APOE gene clusters. We show multiple antagonistic associations of the same variants with AD and DM in the HLA cluster, which were not explained by the lead SNP in this cluster. Although the ɛ2 and ɛ4 alleles played a major role in the antagonistic associations with AD and DM in the APOE cluster, we identified non-overlapping SNPs in this cluster, which were adversely and beneficially associated with AD and DM independently of the ɛ2 and ɛ4 alleles.

conclusionThis study emphasizes differences and similarities in the heterogeneous genetic architectures of AD and DM, which may differentiate the pathogenic mechanisms of these diseases.

Indexed as

Alzheimer DiseaseDiabetes MellitusInsulin ResistanceApolipoproteins EHumansRisk FactorsApolipoproteins EAlzheimer’s diseaseapolipoprotein E genediabetesmajor histocompatibility complexpleiotropy

Identifiers

PMID37355909
PMCPMC10666173
OpenAlexW4381856584

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.